Triple
T16351594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tusheti |
E397072
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Parsma
Parsma is a remote mountain village in Georgia’s Tusheti region, known for its traditional stone towers and dramatic Caucasus landscapes.
|
E1208669
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Parsma | Statement: [Tusheti, hasVillage, Parsma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parsma Context triple: [Tusheti, hasVillage, Parsma]
-
A.
Parnis
Parnis is an alternative name for Parnes, which may refer to various places or entities sharing that designation.
-
B.
Paranesti
Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
-
C.
Parakar
Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
-
D.
Parva
Parva is a renowned Kannada novel by S. L. Bhyrappa that offers a modern, realistic retelling of the Indian epic Mahabharata.
-
E.
Pamiris
Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parsma Triple: [Tusheti, hasVillage, Parsma]
Generated description
Parsma is a remote mountain village in Georgia’s Tusheti region, known for its traditional stone towers and dramatic Caucasus landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parsma Target entity description: Parsma is a remote mountain village in Georgia’s Tusheti region, known for its traditional stone towers and dramatic Caucasus landscapes.
-
A.
Parnis
Parnis is an alternative name for Parnes, which may refer to various places or entities sharing that designation.
-
B.
Paranesti
Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
-
C.
Parakar
Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
-
D.
Parva
Parva is a renowned Kannada novel by S. L. Bhyrappa that offers a modern, realistic retelling of the Indian epic Mahabharata.
-
E.
Pamiris
Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facbf60c8190aa47d4c45ff59354 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db6375c81908c64dbe2bc987b1a |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a00304d7c888190a018d865eb51f0a0 |
completed | May 10, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00309ceba88190a982b439a1e72e78 |
completed | May 10, 2026, 7:15 a.m. |
Created at: April 10, 2026, 5:07 a.m.